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Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Title: SAR-SIFT: A SIFT-Like Algorithm for
SAR Images
Abstract—The scale-invariant feature transform (SIFT) algorithmand its many
variants are widely used in computer vision and in remote sensing to match
features between images or to localize and recognize objects. However, mostly
because of speckle noise, it does not perform well on synthetic aperture radar
(SAR) images. In this paper, we introduce a SIFT-like algorithm specifically
dedicated to SAR imaging, which is named SAR-SIFT. The algorithm includes
both the detection of keypoints and the computation of local descriptors. A new
gradient definition, yielding an orientation and a magnitude that are robust to
speckle noise, is first introduced. It is then used to adapt several steps of the SIFT
algorithm to SAR images. We study the improvement brought by this new
algorithm, as compared with existing approaches. We present an application of
SAR-SIFT to the registration of SAR images in different configurations,
particularly with different incidence angles.
Software & Hardware requirement:
1. Hardware requirement:
1. PC
2. RAM minimum 2GB
3. HDD minimum 100GB
2. Software requirement:
1. MATLAB 7.0
2. Signal processing toolbox
3. Image processing toolbox
4. Mathematical toolbox
PROJECT FLOW:
First Review:
Literature Survey
Paper Explanation
Design of Project
Project Enhancement explanation
Second Review:
Implementing 40% of Base Paper
Third Review
Implementing Remaining 60% of Base Paper with Future Enhancement
(Modification)
For More Details please contact
Logic Mind Technologies
Vijayangar (Near Maruthi Medicals), Bangalore-40
Ph: 8123668124 // 8123668066
Mail: logicmindtech@gmail.com

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Sar sift a sift like algorithm for sar images

  • 1. Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Title: SAR-SIFT: A SIFT-Like Algorithm for SAR Images Abstract—The scale-invariant feature transform (SIFT) algorithmand its many variants are widely used in computer vision and in remote sensing to match features between images or to localize and recognize objects. However, mostly because of speckle noise, it does not perform well on synthetic aperture radar (SAR) images. In this paper, we introduce a SIFT-like algorithm specifically dedicated to SAR imaging, which is named SAR-SIFT. The algorithm includes both the detection of keypoints and the computation of local descriptors. A new gradient definition, yielding an orientation and a magnitude that are robust to speckle noise, is first introduced. It is then used to adapt several steps of the SIFT algorithm to SAR images. We study the improvement brought by this new algorithm, as compared with existing approaches. We present an application of SAR-SIFT to the registration of SAR images in different configurations, particularly with different incidence angles.
  • 2. Software & Hardware requirement: 1. Hardware requirement: 1. PC 2. RAM minimum 2GB 3. HDD minimum 100GB 2. Software requirement: 1. MATLAB 7.0 2. Signal processing toolbox 3. Image processing toolbox 4. Mathematical toolbox PROJECT FLOW: First Review: Literature Survey Paper Explanation Design of Project Project Enhancement explanation Second Review: Implementing 40% of Base Paper Third Review Implementing Remaining 60% of Base Paper with Future Enhancement (Modification) For More Details please contact Logic Mind Technologies Vijayangar (Near Maruthi Medicals), Bangalore-40 Ph: 8123668124 // 8123668066 Mail: logicmindtech@gmail.com